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Christopher Lorton has a Master of Science in Computer Science from Washington University, St. Louis, where he also obtained a Bachelor of Science in Physics. His master’s thesis focused on the parallel computation of neural networks (NN) for the recognition of handwritten characters. Christopher’s past work includes machine vision systems, digital media processing, cross-platform managed code runtime development, and the accelerated rendering of graphical user interfaces (GUI). Christopher’s current responsibilities as a development lead include simulation engine software development for an upcoming compartmental modeling framework, as well as the rapid prototyping of disease transmission models for the efficient simulation of those models.